Title
Two High Accuracy Frequency Estimation Algorithms Based On New Autocorrelation-Like Function For Noncircular/Sinusoid Signal
Abstract
Computing autocorrelation coefficient can effectively reduce the influence of additive white noise, thus estimation precision will be improved. In this paper, an autocorrelation-like function, different from the ordinary one, is defined, and is proven to own better linear predictive performance. Two algorithms for signal model are developed to achieve frequency estimates. We analyze the theoretical properties of the algorithms in the additive white Gaussian noise. The simulation results match with the theoretical values well in the sense of mean square error. The proposed algorithms compare with existing estimators, are closer to the Cramer-Rao bound (CRLB). In addition, computer simulations demonstrate that the proposed algorithms provide high accuracy and good anti-noise capability.
Year
DOI
Venue
2018
10.1587/transfun.E101.A.1065
IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES
Keywords
Field
DocType
frequency estimation, autocorrelation-like function, complex-valued least squares, complex-valued reformulation of Pisarenko's method
Sinusoid,Algorithm,Mathematics,Autocorrelation
Journal
Volume
Issue
ISSN
E101A
7
1745-1337
Citations 
PageRank 
References 
0
0.34
0
Authors
6
Name
Order
Citations
PageRank
Kai Wang152.53
Jiaying Ding200.34
Yili Xia324725.50
Xu Liu42711.96
Jinguang Hao501.35
Wenjiang Pei64917.26